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matplotlib-draw vintage cure for specific field based on the range


Python, Matplotlib, subplot: How to set the axis range?Using seaborn FacetGrid to plot spatial gridsGroup by date in pandas in order to plot categorical distributionswrong y axis range using matplotlib subplots and seabornLegend is not working properly in Pythonpython module import so slow in other IDE but in Spyder it's 20 times fasterPandas DataFrame Slicing issueSeaborn time axis: show date instead of nanosecondsPandas Series not plotting to timeseries chartHow to draw a linear plot with matplotlib using the categorical sklearn boston housing dataset






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0















I have data set like



date Status

1/8/2018 30+

1/8/2018 20

16/10/2017 31+

1/2/2018 31+

4/7/2018 31+

... 10

3/6/2018 31+
... ....


I want to Create a vintage curve of 31+. how do I draw the curve?
I tried to like this, I know its right way to plot



import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns


df = pd.read_csv('sample_data.csv')

for i in df['status']:

if i >= 30:

sns.distplot((df['status']),bins=10);
plt.show()




this is what I get output enter image description here, but how do I specify the range.



I am new for data visualization.



Thanks in advance










share|improve this question






























    0















    I have data set like



    date Status

    1/8/2018 30+

    1/8/2018 20

    16/10/2017 31+

    1/2/2018 31+

    4/7/2018 31+

    ... 10

    3/6/2018 31+
    ... ....


    I want to Create a vintage curve of 31+. how do I draw the curve?
    I tried to like this, I know its right way to plot



    import numpy as np

    import pandas as pd

    import matplotlib.pyplot as plt

    import seaborn as sns


    df = pd.read_csv('sample_data.csv')

    for i in df['status']:

    if i >= 30:

    sns.distplot((df['status']),bins=10);
    plt.show()




    this is what I get output enter image description here, but how do I specify the range.



    I am new for data visualization.



    Thanks in advance










    share|improve this question


























      0












      0








      0








      I have data set like



      date Status

      1/8/2018 30+

      1/8/2018 20

      16/10/2017 31+

      1/2/2018 31+

      4/7/2018 31+

      ... 10

      3/6/2018 31+
      ... ....


      I want to Create a vintage curve of 31+. how do I draw the curve?
      I tried to like this, I know its right way to plot



      import numpy as np

      import pandas as pd

      import matplotlib.pyplot as plt

      import seaborn as sns


      df = pd.read_csv('sample_data.csv')

      for i in df['status']:

      if i >= 30:

      sns.distplot((df['status']),bins=10);
      plt.show()




      this is what I get output enter image description here, but how do I specify the range.



      I am new for data visualization.



      Thanks in advance










      share|improve this question
















      I have data set like



      date Status

      1/8/2018 30+

      1/8/2018 20

      16/10/2017 31+

      1/2/2018 31+

      4/7/2018 31+

      ... 10

      3/6/2018 31+
      ... ....


      I want to Create a vintage curve of 31+. how do I draw the curve?
      I tried to like this, I know its right way to plot



      import numpy as np

      import pandas as pd

      import matplotlib.pyplot as plt

      import seaborn as sns


      df = pd.read_csv('sample_data.csv')

      for i in df['status']:

      if i >= 30:

      sns.distplot((df['status']),bins=10);
      plt.show()




      this is what I get output enter image description here, but how do I specify the range.



      I am new for data visualization.



      Thanks in advance







      python matplotlib seaborn






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 9 at 14:36







      Raj

















      asked Mar 9 at 8:54









      RajRaj

      85




      85






















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